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22 results for “Cognitive Ability”
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Research ArticleOpen accessIn the keywordsEfficacy of Numeric Keypad for Computer Illiterates in Rural ICTPallab Dutta, Mahesh Kumar, B. Sridharan, Vipin TyagiThe world has a vast population of illiterate people who cannot read and write. There are globally about 781 million adults today who fall into this category of illiterate population. The number is even higher for computer illiterates, as not all literate masses qualify to be computer literate due to various compelling factors prevailing. There has been a lot of … …Journal of Computer Science, Vol. 11, Issue 8 · 19 Nov 2015 · 7,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Evolution Framework for Evaluating Intelligent Spectrum Sensing Mechanisms in Cognitive RadioArchana Krishnamuthy, Sudhindra Kumbhashi RajgopalCognitive radio technology has advanced to address the challenge of limited spectrum availability by employing spectrum sensing techniques. This process is framed as a detection problem involving two core hypotheses: Hypo-0 and Hypo-1. Hypo-0 represents the scenario where only noise is present, and its modeling depends on parameters such as the number of observed samples, the timing of signal acquisition, … …Journal of Computer Science, Vol. 21, Issue 8 · 4 Sep 2025 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Deep Learning to Support Clinical Decision-Making: The Case of Alzheimer’s Disease DiagnosisNawal Mohamed Bahy Eldin, Ghada A. El Khayat, Abeer A. AmerAlzheimer’s disease is a chronic, progressive brain disorder that leads to a gradual decline in memory and cognitive functions. In this study, N-VGG16, an advanced deep learning model, is proposed. The model builds upon the VGG16 architecture, incorporating key enhancements to improve its ability to classify neurodegenerative conditions. The model processes structural neuroimaging data using a refined pipeline that applies … …Journal of Computer Science, Vol. 21, Issue 10 · 11 Dec 2025 · 3,383 accessesView PDFCite
Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Biosensors to Analyse a Soldier’s Stress LevelJosé Miguel Martinho Silva, Ricardo A. Marques Lameirinhas et al.Currently and increasingly, biosensors are present in our daily lives, even if tendentiously and imperceptibly. As such and given their importance, the scientific community is clearly interested in making progress in this research field. This study is part of the study of biosensors using pre-gelled electrodes and was focused on the analysis of the ability to extract information on the … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 2 · 1 Mar 2024 · 4,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposed Self-Regulation Model for Collaborative E-Learning Systems in Kenyan Public UniversitiesGrace Leah Akinyi, Robert ObokoIntegration of technology in learning such as Electronic-learning has become an indispensable segment of higher education in Sub-Saharan Africa. This has opened up opportunities that improve teaching and learning. There is need for intervening in e-learning environments towards developing Self-regulated learning support, which can lead to improvement in performance and learner retention. SRL provides students with capability to acquire and … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2020 · 7,717 accessesView PDFCite
Research ArticleOpen accessIn the abstractCognitively Inspired Algorithm for Imprecise NavigationMelissa Shahrom, Zalilah Abd AzizThis paper presents an algorithm, namely the private navigation algorithm. The aim of this algorithm is to bridge the gap between high quality navigation services and low quality of location information or imprecise data. Generally, the imprecision is due to the poor positioning technology and the algorithms use to protect location privacy. The benefits of the algorithm are at least … …Journal of Computer Science, Vol. 12, Issue 6 · 14 Jul 2016 · 7,097 accessesView PDFCite
EditorialOpen accessIn the abstractVisceral Pain: Basic Research Concepts and Therapeutic InterventionsVictor V. ChabanThe accumulation of nociceptive diseases that limit normal body functions is a major risk factor for a disability, and visceral pain is one of the most prevalent human health problems. Additionally, many pain-associated diseases are accompanied by the concomitant decline in cognitive and motor performance. The complex interplay and balance between diverse signal transduction mediators, genetic background and environmental factors … …International Journal of Research in Nursing, Vol. 6, Issue 2 · 26 Aug 2015 · 7,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE IMPACT OF COGNITIVE TRUST AND E-WOM ON PURCHASE INTENTION IN C2C E-COMMERCE SITEIka Alfina, Joni Ero, Achmad Nizar Hidayanto, Muhammad Rifki ShihabIn the last few years, the number of Internet users in Indonesia was growing rapidly as many people started to use e-commerce sites. Utilization of C2C e-commerce in particular has a risk that may reduce people interest in online shopping. Of the many factors that may influence online shopping intention, trust becomes the key. This study built a model to … …Journal of Computer Science, Vol. 10, Issue 12 · 27 Dec 2014 · 10,306 accessesView PDFCite